 Wait, I'll fix that. Yeah, so first of all, thank you so much for sticking around until now. We all had coffee, so try to stay awake while I talk about security. Before starting, I'd like to ask all of you a question. So for the answer, just try to be loud. Just yes or no question. How many of you love Google? Yes? OK, so we see they are more lovers than haters. So I'll start with another question. How many of you know who is Sundar Pichai? Do you know? Well, I know. OK, I know this was a stupid question, but when I was in my middle school a few years back, this guy, Sundar Pichai, in one of his talks, he said that everything we do in our lives is being controlled by data. And at that time, I was very confused when I heard that. Because till then, all that my parents told me was that there is some god who does this. So all my life till now had been a lie. But now we all know that he was right. Data is everywhere. You all came here because you had the data about DevFest. You all are wearing your badges with your name because we had the data about you. OK, let's try it with a question. How many of you can count the number of times you come across the word data in your day? Can you? We cannot, right? Data is everywhere. Data is one of the most important and repetitive word we all hear daily. Today, we are generating more than 2.5 quintillion bytes of data daily. And I was told that 90% of this data was generated in the last few years, which is really massive. We are generating data more than ever. And obviously, this massive data contains a lot of sensitive information like passwords, user names, credentials. And those folks are either trying to protect this data or to gain access to this data. Not everyone who loves data uses it for good. And we don't want the data to get into wrong hands. So this is the time the need of the R is to protect the data. And this is exactly what data loss prevention API is designed for. DLP API can automatically detect, classify, and secure sensitive information and personally identifiable information like names, credit card numbers, passwords. I'm sorry. Yeah. Like names, credit card numbers, and passwords. OK. I'm sorry. I'm sorry. It's screwed up. Yeah. Yeah. It's data. So what DLP API can do, it can automatically detect, classify, and protect sensitive data and personally identifiable information like names, credit card numbers, and phone numbers using various techniques. Let's look at it with an example. Suppose you have a file with all information like phone numbers, email address, credit card numbers. And you want to share the data with your analytics team. Obviously, you cannot share the whole file as it is. Half of your company will be playing around with this data. So this is where DLP API comes into the game. DLP API will automatically detect and classify the sensitive information and secure it. So this is what happens at the front end of the API. Now let's see what happens at the back end. DLP API can classify data based on over 100 predefined detectors and can protect data using techniques like masking, secure hashing, tokenization, and formal preserving encryption in real time. And that too before writing it on the disk, after which the data can be safely used for sharing purposes in app development or analytics or machine learning. The API comes built in with many Google products like Google Drive, Google Cloud, Gmail. And after all this processing, DLP API then provides a report of the quantity and the type of data it classified right into your Cloud Command Center. And that's how it works. So that's how it works. Now let's see a quick demo on DLP API. So this is a demo provided by Google itself. As you can see, it provides a good help text which you can see it automatically detects credit card numbers, email addresses, URLs, driver license numbers. So DLP API recognizes precisely 107 infotypes which include general infotypes like age, email addresses, credit card numbers, and some country-specific infotypes for some countries like NRIC number in Singapore or permanent account number in India. So yeah, so another advantage of DLP API is that it protects the data even at rest. So your data is safe even if it's not getting translated anywhere. So in conclusion, DLP API is a great tool to reduce human effort in detecting and securing data, providing another layer of security to the data. And to use this next level security, all we have to do is either to submit the data to Cloud DLP or to specify where the data is stored on Google Cloud BigQuery or Cloud Data Base Instances. Is that simple? Thank you.